Search Results (143)

Mechanised agricultural operations are often performed individually, under minimal supervision and across a wide range of unfavourable working conditions, resulting in a complex mixture of hazards and external stressors that severely affect safety conditions. Socio-technical and environmental constraints significantly affect safety culture and require continuous performance adjustments to overcome timing pressures, resource limitations, and unstable weather conditions. This study introduces a FRAM-based safety culture model that embeds the thoroughness-efficiency trade-off (ETTO) in four distinct operational modes that adhere to specific safety cultures, namely, thoroughness, risk awareness, compliance, and efficiency. This model has been instantiated for mechanised ploughing: foreground task functions were coupled with background functions that represent socio-technical constraints and environmental variability, while severity classes for potential incidents were derived from the US OSHA accident database. The framework was also supported by a semi-quantitative Resonance Index based on severity and coupling strength, the Total Resonance Index (TRI), to assess how variability propagates in foreground functions and to identify hot-spot functions where small adjustments can escalate into high resonance and hazardous conditions. Results showed that the negative effects on functional resonance generated by safety detriment on TRI observed between compliance and effective working modes were three times larger than the drift between risk awareness and compliance, demonstrating that efficiency comes with a much higher cost than keeping safety at compliance levels. Extending the proposed approach with quantitative assessments could further support the management of socio-technical and environmental drivers in mechanised farming, strengthening the role of safety as a competitive asset for enhancing resilience and service quality. Full article

Location-based games offer innovative approaches for health promotion among older adults, but their effectiveness depends on understanding complex contextual factors beyond technological design. In our study, we aimed to adapt a location-based game in the form of a smartphone application which originally targeted younger people. We employed ethnographic observations in a field test under real-world conditions for identifying the needs and preferences of older adults in this regard. Field notes of one co-creative workshop were analyzed using thematic analysis. Four key contextual factor categories emerged that significantly influenced user engagement: (1) temporal/spatial factors including weather conditions, topography, and traffic safety that impacted screen visibility and cognitive function; (2) virtual-physical orientation challenges requiring high cognitive load to transfer abstract digital maps to real environments; (3) individual factors such as technical competence, mobility levels, and prior accessibility experiences that shaped usage patterns; and (4) social dynamics that provided motivation and peer support while potentially creating exclusionary practices. Successful digital health innovations for older adults require a socio-technical systems approach that addresses environmental conditions, reduces cognitive transfer demands between virtual and physical navigation, leverages social elements while preventing exclusion, and accounts for heterogeneity among older adults as contextually interactive factors rather than merely individual differences. Full article

Digital transformation (DT) requires organizations to navigate complex technological and organizational changes, often under conditions of uncertainty. While agile methodologies are widely adopted to address the iterative and cross-functional nature of DT, limited attention has been paid to identifying critical success factors (CSFs) from a socio-technical systems (STS) perspective. This study addresses that gap by integrating and prioritizing CSFs as interdependent elements within a layered socio-technical framework. Drawing on a systematic review of 17 empirical and conceptual studies, we adapt Chow and Cao’s agile success model and validate a set of 14 CSFs across five domains—organizational, people, process, technical, and project—through a Delphi-informed Analytic Hierarchy Process (AHP). The findings reveal that organizational and people-related enablers, particularly management commitment, team capability, and organizational environment, carry the greatest weight in agile-based DT contexts. These results inform a three-layered framework—comprising organizational readiness, agile delivery, and project artefacts—which reflects how social, technical, and procedural factors interact systemically. The study contributes both theoretically, by operationalizing STS theory in the agile DT domain, and practically, by providing a prioritized CSF model to guide strategic planning and resource allocation in transformation initiatives. Full article

This study addresses the urgent challenge of safeguarding sensitive health data in today’s digital age by proposing a novel, integrated data protection framework that synthesises six critical pillars—technology, policy, cybersecurity, legal frameworks, governance, and risk assessment—into a unified socio-technical model. Unlike existing piecemeal approaches, this framework is designed to bridge the gap between regulatory requirements and practical implementation through measurable, engineering-based solutions. Healthcare organisations face persistent difficulties in aligning innovation with secure and compliant practices due to fragmented governance and reactive cybersecurity measures. This paper aims to empirically validate the effectiveness of the proposed framework by quantitatively analysing causal relationships between its components (such as between governance and compliance) using advanced statistical methods, including exploratory factor analysis (EFA) and Partial Least Squares Structural Equation Modelling (PLS-SEM). A survey of healthcare professionals across multiple countries revealed significant gaps between regulatory expectations and operational realities, underscoring the need for harmonised strategies. The results demonstrate strong causal linkages between governance, cybersecurity practices, and compliance, validating the framework’s robustness. This research contributes to the fields of digital health, information systems, industrial engineering, and electronic governance by offering a scalable, empirically tested model for socio-technical data protection. The findings provide actionable strategies for policymakers, system architects, and digital infrastructure designers. Full article

Aviation is widely recognised as one of the most carbon-intensive modes of transport and among the most challenging sectors to decarbonise. The use of green hydrogen (H₂) in airside operations can help reduce emissions from air transport. While the pace and scalability of technology development, including H₂-powered and ground support equipment, will be key factors, other financial, regulatory, legal, organisational, behavioural, and societal issues must also be considered. This paper investigates the key opportunities and challenges of using H₂ in the aviation industry through eleven semi-structured interviews and a virtual expert workshop (N = 37) with key aviation industry stakeholders and academia. The results indicate that, currently, decarbonisation of the aviation sector faces several challenges, including socio-technical, techno-economic, and socio-political challenges, with socio-technical challenges being the most prominent barrier. This study shows that decarbonisation will not occur until the UK government is ready to have all the required infrastructure and capacity in place. Governments can play a significant role in directing the necessary ‘push’ and ‘pull’ to develop and promote zero-carbon emission aircraft in the marketplace and ensure safe implementation. Full article

Energy transitions concentrated on a neighborhood or district scale represent a fairly new area of focus at the European (EU) level, aiming to combat future global warming and to reduce anthropogenic greenhouse gas (GHG) emissions. In the EU energy transition policy agenda, positive energy districts (PEDs) refer to urban areas where more renewable/zero-emissions energy is produced annually than is consumed. PEDs have increasingly grown in recognition and significance, as a societal solution geared towards a low-carbon future. The relevant aims include the utilization of 100 PEDs by 2025 and alignment with the EU, which seeks to become a climate-neutral continent by 2050. However, this target raises questions regarding the means of achieving fast and consistent adoption across various socio-technical contexts. Defining the opportunities, challenges, and key issues to address short-term project timelines is vital to implementing fit-for-purpose solutions and bringing PEDs into the mainstream. Proactive knowledge sharing, adaptive learning, and collaboration across disciplines and sectors will bring know-how for understanding the requirements in different contexts. The need for practical approaches to facilitate PED implementation is crucial. This study aims to elucidate the opportunities for and barriers to successful PED design and implementation by compiling and synthesizing experiences from 61 PED projects, identifying key drivers, challenges, enablers, and ethical considerations. In addition, the authors present a framework, consisting of moral principles, which can help present the issues concerning the development and deployment of PED in an ethical context. Full article

The architecture, engineering, and construction (AEC) industry is experiencing significant digital transformation, creating a critical need to understand how future professionals perceive and accept emerging technologies. This study applies the Technology Acceptance Model (TAM) to investigate undergraduate construction students’ perceptions of Building Information Modelling (BIM) and examines how these factors influence their views on BIM applications. Using an exploratory mixed-methods approach, we analysed 773 responses from students at an Australian university across AEC disciplines, with 607 providing substantive qualitative feedback. Qualitative thematic analysis provided rich contextual understanding of student perspectives, while quantitative analysis revealed pattern frequencies across disciplines. Findings showed that perceived usefulness (PU) (37.7%) and attitude toward using (ATU) (68.4%) dominated student responses, while perceived ease of use (PEOU) (6.9%) received less attention. Productivity benefits (15.3%) and increased accuracy (7.9%) emerged as primary usefulness drivers. Disciplinary differences were significant, with Civil Engineering students emphasising design validation aspects and Construction Management students focusing on project delivery benefits of BIM. Notably, students exhibited sophisticated ambivalence, recognising BIM’s professional value while expressing concerns regarding the steep learning curve, especially when its adoption is coupled with the integration of emerging technologies such as artificial intelligence. This study contributes to the existing knowledge by: (1) documenting the current state of student perceptions in BIM education; and (2) revealing the complex interplay between technological enthusiasm and socio-professional concerns across both educational and industry settings. These findings provide evidence-based guidance for developing BIM curricula that address both socio-technical competencies and student perceptions, helping bridge the gap between educational outcomes and students’ understanding of industry requirements. Full article

The increasing digitalization of the world underscores the critical importance of both social and technical aspects in software engineering practice. While prior research links socio-technical congruence (STC) to positive workstream outcomes, the current convergence of digital products, technologies, and social systems introduces novel and often unpredictable results, driven by the complex interplay of leadership, organizational culture, and software engineering practices operating as a complex adaptive system (CAS). This paper proposes a novel model for adopting socio-cultural practices to bridge the social and technical divide through the lens of STC. The innovation of the model lies in its socio-technical evolutionary journey, built upon dual systems: (1) an analytical System-I focused on enhancing robustness via compliance with Lean and Agile socio-cultural practices, and (2) a holistic System-II emphasizing resilience through an acceptance of interdependence of system actors that requires sense-making techniques. A methodology based on this model was piloted across six case studies: three in an Enterprise IT organization and three in two business units undergoing transformations on Lean and Agile plus DevOps adoption. System-I’s robustness was evaluated through surveys and structured STC maturity assessments (self and guided ones). System-II employed sense-making techniques to foster resilience within the system of work (SoW), laying the groundwork for their evolutionary journeys. The findings reveal a significant need for greater alignment between management (as transformation agents) and software engineering practices. However, the study suggests actionable guidelines, grounded in new principles and mental models for operating within a CAS, to cultivate enhanced resilience and robustness in a VUCA world. Full article

Reducing total waste generation, increasing the rate of separate collection, and ensuring efficient material recovery are three key objectives recognized at the UN, EU, and national levels for achieving a sustainable waste management system. The policy and scientific debate has traditionally been polarized around two main collection systems: door-to-door and street collection, each with its own strengths and weaknesses. However, in recent years, hybrid waste collection models, which aim to integrate the advantages of both systems, have gained increasing attention. The impact of these models on sustainability, as well as the social mechanisms underlying their success or failure, remain underexplored. This paper analyzes a case study of a hybrid waste collection innovation implemented in eight small and medium-sized municipalities in Piedmont, Italy. The study has a twofold objective: (1) assessing the economic and environmental impacts of the system and (2) hypothesizing the social mechanisms that generate these effects. To address these research gaps, we develop a theoretical framework that combines the socio-technical system approach with analytical sociology. The framework is then operationalized through a quasi-experimental research design, which allows us to measure the effects of the hybrid innovation on a set of 17 indicators. The analysis is conducted by comparing the treated municipalities with a control group selected for its similarity. Empirical evidence reveals an unexpected and partially contradictory outcome: while the total amount of waste decreases, this reduction is not offset by a proportional increase in separate collection rates. Moreover, the quality of waste separation worsens. To explain this emerging pattern, we formulate a set of hypotheses—grounded in our theoretical framework—on the key factors influencing individual behavioral responses. Our provisional conclusion, which requires further qualitative validation, suggests that the interplay between economic incentives and social control in a context of imperfect awareness leads to ambiguous effects of hybridization in waste collection systems. Full article

The concept of a digital twin (DT), rooted in mid-20th-century ideas, has recently gained significant traction even outside software simulation and engineering modeling. The recent advancements in computational power and the development of model integration methodologies have enabled the creation of virtual replicas of complex physical objects. The success of DTs in engineering has also pushed for the exploration of their use in other domains, especially where complex systems are at stake. One of these cases, which is the focus of this paper, is the modeling of cities and the way they are transformed via technologies into so-called smart cities. In these systems, the huge amount of data that are made accessible and constantly updated via sensor networks suggests that one can use DTs dedicated to the urban scenario as data-driven decision-making devices. However, the concept of a DT was not developed for socio-technical systems and requires careful analysis when applied to urban scenarios. While technologies and information systems have become integrated into city management, this has not reduced the complexity of the city. Relying only on sensory data for city modeling and management seems pretentious since detectable data (what is made accessible via sensor networks) do not seem suitable to inform on all important aspects of the city. Urban DTs hold promise, yet their development necessitates careful consideration of both opportunities and limitations. For this goal, it can be helpful to exploit an ontological analysis due to its neutral and systematic approach and to look at a city as a system of intertwined relationships across its components, such as places, agents, and knowledge. The variety of interactions that the components manifest highlights aspects of the city that the type of data we can collect today leaves unexplored. The paper presents a preliminary example of this issue by studying cases of city squares. The final part of this paper is a call to analyze DTs’ potential role in urban contexts and become aware of the intrinsic limitations of the data they rely upon. Full article

This study adopted a socio-technical approach to optimizing key factors for implementing the ETHICS (Effective Technical and Human Implementation of Computer-based Systems) framework in long-term care. Accurate record-keeping by nurse aides is essential, and deploying suitable information technology solutions can greatly improve operational efficiency. To achieve a comprehensive understanding of system requirements and information needs, the researchers combined the Fuzzy Delphi method, FAHP (Fuzzy Analytic Hierarchy Process), and TISM (Total Interpretive Structural Modeling), addressing both human and technical dimensions. The findings highlighted that the efficient allocation of human resources, a consultative and participative work environment, and adequate time to deliver high-quality care are crucial for enhancing record-keeping practices and overall operational efficiency. This improvement will ultimately lead to a higher care quality, cost savings, and better resource utilization. Additionally, adapting to changes in technology, regulations, economic conditions, demographics, industry standards, and organizational practices remains critical. By promoting a balanced integration of technical capabilities with human factors, this approach supports the effective design of socio-technical systems in long-term care settings. Full article

This study investigates why artificial intelligence (AI) may hinder rather than enhance teaching efficiency in primary school physical education (PE). Guided by socio-technical systems theory, we conducted focus group interviews with 13 PE teachers (6 from Nanjing and 7 from Chongqing, China) who had at least three years of teaching experience and two years of AI implementation experience. Participants were purposefully selected through a two-stage sampling strategy: initial screening via open-ended questionnaires to identify teachers reporting negative experiences with AI integration, followed by snowball sampling to recruit additional participants with similar perspectives. Data collection employed a dual-facilitator approach using semi-structured interviews, with one moderator guiding discussions while another observed non-verbal cues. Qualitative content analysis revealed key barriers across four dimensions: technological (interface complexity, infrastructure limitations), employee (professional identity conflicts, interpersonal tensions), task-related (real-time monitoring challenges, reduced pedagogical flexibility), and organizational (inadequate support systems, unclear implementation policies). These findings suggest that successful AI integration in PE requires a holistic approach addressing both technological and human factors, rather than focusing solely on technological advancement. The study contributes to understanding how socio-technical interactions uniquely manifest in physically active learning environments. Full article

Human-centricity, sustainability, and resilience are the core pillars of the Industry 5.0 concept. The human-centric perspective emphasizes the development of socio-technical systems designed to enhance human health, safety, and well-being while fostering sustainable practices that benefit society at large. This paper presents a systematic literature review to identify the key characteristics of human-centered work environments. The findings reveal growing interest in human factors and ergonomics, with notable gaps in cognitive ergonomics requiring further attention. Beyond ensuring safety and health, human-centric systems must address cognitive workload and well-being to maintain productivity, efficiency, and motivation, which are closely tied to a company’s market performance. This study provides valuable insights for both scientific and industrial stakeholders, outlining the principles and requirements essential for the effective implementation of human-centric systems. Full article

Waste is a complex challenge that requires collaboration between multiple stakeholders to achieve a circular economy. In this context, there is a growing demand for digital solutions that integrate physical and digital infrastructure to create digital waste governance systems. Analog management, without accurate data, is becoming increasingly unfeasible in light of the UN Sustainable Development Goals. Tools such as online geographic information systems (WebGIS) allow the collection and integration of large volumes of physical and human data and the establishment of a digital governance structure that brings together different technologies, tools and methods in the same environment. This article aims to present the State of the Art on the topics of zero-waste cities, WebGIS, and disruptive innovation. The article starts from the hypothesis that only a process of disruptive and systemic innovation in the value chain and urban solid waste management (MSWMS), supported by the principle of zero-waste cities, circular economy and webGIS, can effectively help to solve this problem. The research uses an exploratory literature review on the concepts of zero-waste cities, systemic innovation and webGIS applied to waste management, linking them to the theoretical framework of sustainability as a science and to Brazilian public policies, such as the National Solid Waste Policy (Law 12.305/2010), the National Circular Economy Policy (Law 1.874/2022) and the National Digital Government Strategy of Brazil 2024–2027 (ENGD). As a result, scientific publications on zero-waste cities increased from 2018 to 2023 and several countries have adopted zero-waste guidelines in waste management policies. WebGIS, remote sensing, geoprocessing and different technologies are increasingly being incorporated into waste management, generating significant impacts on the diversion of resources from landfills, mitigating climate change, and generating and/or adding value to the useful life of waste and garbage resources, in addition to the optimization and efficiency of collection operators and citizen engagement in public policies. Disruptive innovation has proven to be a concrete process to enable the transition from obsolete sociotechnical systems (such as the linear economy), where sustainable finance and environmental entities play a fundamental role in orchestrating and coordinating the convergence of private, public and civil society actors towards this new sustainable development paradigm. The case study proved to be fruitful in proposing and encouraging the adoption of such methods and principles in municipal waste management, allowing us to outline a first conception of a digital government structure and digitalization of public services for zero-waste cities, as well as pointing out the difficulties of implementing and transforming these systems. This digital governance structure demonstrates the possibility of being replicable and scalable to other cities around the world, which can materialize an important tool for the implementation, articulation and development of a long-term sustainable development paradigm, based on the vision of the circular economy and zero-waste cities. Full article

This article presents a systematic review of sustainable watershed management at the international level. Based on the risk regulation approach, this review approaches the specific gaps in the literature related to relevant issues outlining the international freshwater resources socio-environmental regulation issue, especially in regards to its sociological dimensions: the organizational capabilities of agents involved in regulatory efforts, issue-implicit challenges, and regulatory effort-generated socio-environmental risks. The study identifies the reflexive components of the involved institutions, outlines the deployment of organizational processes in normative regulatory components, and explores the modalities for addressing change and complexity in the regulatory field. A corpus of 64 articles published in the Web of Science (WoS) and Scopus databases between 2021 and 2024 was analyzed, and the following findings are demonstrated: (1) regulatory requirements emerge across the three dimensions due to sociological factors, with the need for broad-ranging coordination capacities and socio-technical improvements highlighted, (2) while high political–technical capacities are exhibited by regulatory agents in the field of study, significant regulatory challenges persist, complicating the sustainable management of watersheds, and (3) decision-making based on socio-environmental risks is deemed feasible within the field of study, enabling advancements in techno-scientific and socio-political areas, although achieving this is considered challenging. It is concluded that sustainable watershed management can be better understood when the risk-based approach is used as an explanatory framework, particularly in priority areas for addressing—and regulating—the global and local dilemmas involved in governing water resources. As this field has been scarcely examined from this perspective, a series of potential research avenues with substantial scope are faced by the social sciences. Socio-environmental challenges related to water should be rigorously analyzed in future studies through innovative approaches, with the social components of the issue prioritized. Full article